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Attenuated Total Reflection Surface-Enhanced Infrared Absorption Spectroscopy: a Powerful Technique for Bioanalysis

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Journal of Analysis and Testing 2017年第1期1卷 71-83页

作者： Jian Li Bo Zheng Qian-Wen Zhang Yang Liu Cai-feng Shi feng-bin wang Kang wang Xing-Hua Xia State Key Laboratory of Analytical Chemistry for Life Science and Collaborative Innovation Center of Chemistry for Life Sciences School of Chemistry and Chemical EngineeringNanjing UniversityNanjing 210093China

Attenuated total reflection surface-enhanced infrared absorption spectroscopy(ATR-SEIRAS)has recently been proven to be a powerful tool for bioanalysis.It enables in situ and in real-time observation of dynamic processes occurring on specific interface,revealing rich structural and functional information of biomolecules at sub monolayer level.The aim of this general review was to give an overview of the cutting edge applications of ATRSEIRAS.We start with description of the basic configuration of the standard ATR-SEIRAS platform.The enhanced mechanisms and methods to fabricate enhanced substrates are then presented.We discuss the recent developments,challenges and applications of ATR-SEIRAS in bioanalysis,mainly focusing on DNA analysis,protein behavior and cell properties.Finally,further development of the ATRSEIRAS technique with enhanced sensitivity,improved time and spatial resolutions will be prospected.

关键词： Surface-enhanced infrared absorption spectroscopy ATR-SEIRAS Bioanalysis DNA Protein Cell

Effectivenss of electroacupuncture for skeletal muscle pain in Parkinson's disease:a Clinical randomized controlled trial

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Journal of Traditional Chinese Medicine 2024年第2期44卷 388-395页

作者： wang Shaosong SUN Jingqing feng Qingyin LI bin wang Xin YUAN Fan CUI Yingxue Department of acupuncture Beijing Hospital of Traditional Chinese MedicineBeijing 100010China

OBJECTIVE:To explore the effect of electroacupuncture on skeletal muscle pain in Parkinson's disease(PD).METHODS:A single-center randomized controlled trial was conducted with sixty patients with Parkinson's disease with skeletal muscle pain were randomly divided into electroacupuncture group and sham acupuncture control group with 30 patients each.The electric acupuncture group was treated with electric acupuncture,while the control group was treated with Park needle pseudoacupuncture.Both groups were treated 5 times a week for a total of 4 weeks,and both groups completed 20 treatments.King's Parkinson's Pain Scale(KPPS)and visual analog scale(VAS)were used before and after treatment to evaluate the pain degree of patients.Realtime shear wave elastography(SWE)and modified Ashworth score(MAS)were used to evaluate the changes of muscle tone.Parkinson's comprehensive Score Scale(MDS-UPDRS,including UPDRS Ⅱ and UPDRS Ⅲ)was used to evaluate exercise ability.Hamilton Depression Scale(HAMD)score was used to evaluate the emotional changes of patients.Spearman correlation analysis was used to explore the correlation between pain degree and muscle tone,exercise ability and emotion.RESULTS:During the study,one case fell off in the control group,and 30 cases were eventually included in the analysis and treatment group and 29 cases in the control group.After treatment,Young's modulus of biceps and quadriceps and shear wave velocity of biceps were decreased in electroacupuncture group compared with before treatment,while KPPS score,VAS score,UPDRS Ⅱ,UPDRS Ⅲ and modified Ashworth score were decreased,with statistical significance(P0.05).After treatment,KPPS score,VAS score,UPDRS Ⅱ and UPDRS Ⅲ,MAS,HAMD score,Young's modulus of biceps and shear wave velocity in electroacupuncture group were significantly lower than those in control group(P<0.05).Spearman correlation analysis showed that KPPS score was positively correlated with UPDRS Ⅲ(r=0.414,P<0.05).KPPS score was

关键词： Parkinson disease muscle skeletal pain electroacupuncture muscle tention mood disorders randomized controlled trial

Collective Molecular Machines: Multidimensionality and Reconfigurability

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Nano-Micro Letters 2024年第8期16卷 309-340页

作者： bin wang Yuan Lu Department of Chemical Engineering Tsinghua UniversityBeijing 100084People’s Republic of China Key Laboratory of Industrial Biocatalysis Ministry of EducationTsinghua UniversityBeijing 100084People’s Republic of China

Molecular machines are key to cellular activity where they are involved in converting chemical and light energy into efficient mechanical work.During the last 60 years,designing molecular structures capable of generating unidirectional mechanical motion at the nanoscale has been the topic of intense research.Effective progress has been made,attributed to advances in various fields such as supramolecular chemistry,biology and nanotechnology,and informatics.However,individual molecular machines are only capable of producing nanometer work and generally have only a single functionality.In order to address these problems,collective behaviors realized by integrating several or more of these individual mechanical units in space and time have become a new paradigm.In this review,we comprehensively discuss recent developments in the collective behaviors of molecular machines.In particular,collective behavior is divided into two paradigms.One is the appropriate integration of molecular machines to efficiently amplify molecular motions and deformations to construct novel functional materials.The other is the construction of swarming modes at the supramolecular level to perform nanoscale or microscale operations.We discuss design strategies for both modes and focus on the modulation of features and properties.Subsequently,in order to address existing challenges,the idea of transferring experience gained in the field of micro/nano robotics is presented,offering prospects for future developments in the collective behavior of molecular machines.

关键词： Molecular machines Collective control Collective behaviors DNA Biomolecular motors

Urea-induced interfacial engineering enabling highly reversible aqueous zinc-ion battery

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Rare Metals 2024年第4期43卷 1599-1609页

作者： bin-Rui Xu Quan-An Li Yong Liu Guang-bin wang Zi-He Zhang feng-Zhang Ren School of Material Science and Engineering Henan University of Science and Technology School of Information Engineering Henan University of Science and Technology Longmen Laboratory Provincial and Ministerial Co-Construction of Collaborative Innovation Center for Non-Ferrous Metal New Materials and Advanced Processing Technology

Aqueous zinc-ion batteries（AZIBs） have been regarded as prospective rechargeable energy storage devices because of the high theoretical capacity and low redox potential of Zn metal.However,the uncontrollable formation of dendrites and the water-induced side reactions at the Zn/electrolyte interface,and the poor reversibility under a high current density(> 2 mA·cm-2) and large area capacity(>2 mAh·cm-2) still limit the practical applications of AZIBs.Therefore,a strategy that can overcome these difficulties is urgently needed.Here,we introduce an environmentally friendly and low-cost additive,namely urea,to the electrolyte of AZIBs to induce uniform Zn deposition and suppress the side reactions.Measurements of the adsorption behavior,electrochemical characterization,and observations of the morphology revealed the interfacial modification induced by urea on the Zn/electrolyte interface,demonstrating its huge potential in AZIBs.Consequently,the long-term cycling stability（over2100 h） of a Zn/Zn symmetric cell under a high current density of 5 mA·cm-2and a capacity of 5 mAh·cm-2was achieved with a 1 mol·L-1ZnSO4electrolyte with the urea additive.Additionally,the assembled Zn/NH4V4O10full cell with urea exhibited excellent cycling performance and an outstanding average Coulombic efficiency of 99.98%.These results indicate that this is a low-cost and effective additive strategy for realizing highly reversible AZIBs.

关键词： Zn anode Urea additive Interface engineering Dendrite growth Side reaction

Exploring cerebral structural and functional abnormalities in a mouse model of post-traumatic headache induced by mild traumatic brain injury

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Zoological Research 2024年第3期45卷 648-662页

作者： Dan Yang bin-bin Nie Jin-Gang He Zong-Qiang Lv feng-feng Mo Si-Yi Ouyang Jie wang Ju-Xiang Chen Tao Tao Department of Anesthesiology Central People’s Hospital of ZhanjiangZhanjiangGuangdong 524045China Key Laboratory of Nuclear Radiation and Nuclear Energy Technology Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China Key Laboratory of Magnetic Resonance in Biological Systems State Key Laboratory of Magnetic Resonance and Atomic and Molecular PhysicsNational Center for Magnetic Resonance in WuhanWuhan Institute of Physics and MathematicsInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences-Wuhan National Laboratory for OptoelectronicsWuhanHubei 430071China Department of Neurosurgery Changhai HospitalNaval Medical UniversityShanghai 200082China Department of Nutrition and Food Hygiene Faculty of Naval MedicineNaval Medical UniversityShanghai 200433China Department of Anesthesiology Nanfang HospitalSouthern Medical UniversityGuangzhouGuangdong 510515China Institute of Neuroscience and Brain Diseases/Xiangyang Central Hospital Affiliated Hospital of Hubei University of Arts and ScienceXiangyangHubei 441021China Songjiang Hospital and Songjiang Research Institute Shanghai Jiao Tong University School of MedicineShanghai 201600China Department of Anesthesiology Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdong 510515China

Mild traumatic brain injury(mTBI)-induced post-traumatic headache(PTH)is a pressing public health concern and leading cause of disability worldwide.Although PTH is often accompanied by neurological disorders,the exact underlying mechanism remains largely unknown.Identifying potential biomarkers may prompt the diagnosis and development of effective treatments for mTBI-induced PTH.In this study,a mouse model of mTBI-induced PTH was established to investigate its effects on cerebral structure and function during short-term recovery.Results indicated that mice with mTBI-induced PTH exhibited balance deficits during the early post-injury stage.Metabolic kinetics revealed that variations in neurotransmitters were most prominent in the cerebellum,temporal lobe/cortex,and hippocampal regions during the early stages of PTH.Additionally,variations in brain functional activities and connectivity were further detected in the early stage of PTH,particularly in the cerebellum and temporal cortex,suggesting that these regions play central roles in the mechanism underlying PTH.Moreover,our results suggested that GABA and glutamate may serve as potential diagnostic or prognostic biomarkers for PTH.Future studies should explore the specific neural circuits involved in the regulation of PTH by the cerebellum and temporal cortex,with these two regions potentially utilized as targets for non-invasive stimulation in future clinical treatment.

关键词： Post-traumatic headache(PTH) Mild traumatic brain injury(mTBI) Metabolic kinetics fMRI Cerebellum

Exact Box-Constrained Economic Operating Region for Power Grids Considering Renewable Energy Sources

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 514-523页

作者： Huating Xu bin feng Chutong wang Chuangxin Guo Jian Qiu Mingyang Sun College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Department of Control Science and Engineering Zhejiang UniversityHangzhou 310027China

The growing integration of renewable energy sources manifests as an effective strategy for reducing carbon emissions. This paper strives to efficiently approximate the set of optimal scheduling plans(OSPs) to enhance the performance of the steady-state adaptive cruise method(SACM) of power grid, improving the ability of dealing with operational uncertainties. Initially, we provide a mathematical definition of the exact boxconstrained economic operating region(EBC-EOR) for the power grid and its dispatchable components. Following this, we introduce an EBC-EOR formulation algorithm and the corresponding bi-level optimization models designed to explore the economic operating boundaries. In addition, we propose an enhanced big-M method to expedite the computation of the EBCEOR. Finally, the effectiveness of the EBC-EOR formulation, its economic attributes, correlation with the scheduling plan underpinned by model predictive control, and the significant improvement in computational efficiency(over twelvefold) are verified through case studies conducted on two test systems..

关键词： Exact box-constrained economic operating region(EBC-EOR) big-M method intelligent scheduling steady-state adaptive cruise uncertainty renewable energy source

Artificial Intelligence Meets Flexible Sensors:Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

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Nano-Micro Letters 2024年第1期16卷 235-273页

作者： Tianming Sun bin feng Jinpeng Huo Yu Xiao Wengan wang Jin Peng Zehua Li Chengjie Du Wenxian wang Guisheng Zou Lei Liu Department of Mechanical Engineering State Key Laboratory of Tribology in Advanced EquipmentKey Laboratory for Advanced Manufacturing by Materials Processing TechnologyMinistry of Education of PR ChinaTsinghua UniversityBeijing 100084People’s Republic of China College of Materials Science and Engineering Shanxi ProvinceTaiyuan University of TechnologyTaiyuan 030024People’s Republic of China

The recent wave of the artificial intelligence(AI)revolution has aroused unprecedented interest in the intelligentialize of human society.As an essential component that bridges the physical world and digital signals,flexible sensors are evolving from a single sensing element to a smarter system,which is capable of highly efficient acquisition,analysis,and even perception of vast,multifaceted data.While challenging from a manual perspective,the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm(machine learning)and the framework(artificial synapses)level.This review presents the recent progress of the emerging AI-driven,intelligent flexible sensing systems.The basic concept of machine learning and artificial synapses are introduced.The new enabling features induced by the fusion of AI and flexible sensing are comprehensively reviewed,which significantly advances the applications such as flexible sensory systems,soft/humanoid robotics,and human activity monitoring.As two of the most profound innovations in the twenty-first century,the deep incorporation of flexible sensing and AI technology holds tremendous potential for creating a smarter world for human beings.

关键词： Flexible electronics Wearable electronics Neuromorphic Memristor Deep learning

Assessment of cheese sign and its association with vascular risk factors: Data from PUMCH dementia cohort

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中华医学杂志(英文版) 2024年第7期137卷 830-836页

作者： Huang Xinying Hou Bo wang Jie Li Jie Shang Li Mao Chenhui Dong Liling Liu Caiyan feng feng Gao Jing Peng bin Department of Neurology State Key Laboratory of Complex Severe and Rare Disease Peking Union Medical College Hospital Chinese Academy of Medical Science and Peking Union Medical College Beijing 100730 China Department of Radiology Chinese Academy of Medical Sciences and Peking Union Medical College

Background: In the clinic, practitioners encounter many patients with an abnormal pattern of dense punctate magnetic resonance imaging (MRI) signal in the basal ganglia, a phenomenon known as "cheese sign". This sign is reported as common in cerebrovascular diseases, dementia, and old age. Recently, cheese sign has been speculated to consist of dense perivascular space (PVS). This study aimed to assess the lesion types of cheese sign and analyze the correlation between this sign and vascular disease risk factors.Methods: A total of 812 patients from Peking Union Medical College Hospital (PUMCH) dementia cohort were enrolled. We analyzed the relationship between cheese sign and vascular risk. For assessing cheese sign and defining its degree, the abnormal punctate signals were classified into basal ganglia hyperintensity (BGH), PVS, lacunae/infarctions and microbleeds, and counted separately. Each type of lesion was rated on a four-level scale, and then the sum was calculated; this total was defined as the cheese sign score. Fazekas and Age-Related White Matter Changes (ARWMC) scores were used to evaluate the paraventricular, deep, and subcortical gray/white matter hyperintensities.Results: A total of 118 patients (14.5%) in this dementia cohort were found to have cheese sign. Age (odds ratio [OR]: 1.090, 95% confidence interval [CI]: 1.064-1.120,P <0.001), hypertension (OR: 1.828, 95% CI: 1.123-2.983,P = 0.014), and stroke (OR: 1.901, 95% CI: 1.092-3.259,P = 0.025) were risk factors for cheese sign. There was no significant relationship between diabetes, hyperlipidemia, and cheese sign. The main components of cheese sign were BGH, PVS, and lacunae/infarction. The proportion of PVS increased with cheese sign severity.Conclusions: The risk factors for cheese sign were hypertension, age, and stroke. Cheese sign consists of BGH, PVS, and lacunae/infarction.

关键词： Dementia Cerebrovascular disease Cheese sign Dense punctate lesions Basal ganglia Risk factor White matter

The Effects of Mindfulness-Based Interventions on Symptoms of Mild Traumatic Brain Injury:A Systematic Review

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International Journal of Mental Health Promotion 2024年第6期26卷 417-428页

作者： Qiqi feng Zhijian Huang Yanqiu wang bin wang School of Physical Education and Sports Central China Normal UniversityWuhan430079China School of Physical Education Hubei UniversityWuhan430062China

Mindfulness-based interventions(MBIs)are emerging non-pharmacological treatments for mild traumatic brain injury(mTBI).In this systematic review,the authors aimed to evaluate the potential efficacy of MBIs to provide recommendations for treating patients with mTBI.We searched of the English literature on MBIs for patients with mTBI as of 01 September,2023,using the PubMed,Web of Science,PsycINFO,and Scopus databases.One author performed data extraction and quality scoring of the included literature according to the proposed protocol,and another conducted the review.The review was not registered.A total of 11 studies met the final inclusion criteria,5 of which involved military personnel(veterans).MBIs covered in this review include goal-oriented attention self-regulation(GOALS),mindfulness-based stress reduction(MBSR),acceptance and commitment therapy(ACT),and so on.Research shows that MBSR mainly reduces mental fatigue symptoms in mTBI patients,and GOALS tend to improve their cognitive function.The effect of MBIs on psychological symptoms needs further exploration.Other studies,such as mindfulness-based group therapy and intervention studies targeting mTBI military personnel,are relatively sparse.MBIs have specific effects on mental fatigue and cognitive dysfunction in patients with mTBI.However,the effect on psychological distress and the sustained effectiveness across all symptoms still need further exploration.Considering the particularity of military personnel suffering from mTBI,researchers need to do more intervention studies targeting mTBI military personnel.Therefore,the design of future MBIs trials for mTBI patients’needs to take into account all the factors,such as different populations and severity of traumatic brain injury,to verify the effectiveness of MBIs in alleviating mTBI symptoms and explore the mechanism of intervention.

关键词： Mindfulness traumatic brain injury mild